I am mainly interested in bioinformatics and (supervised, sequential) machine learning, and how to apply tractable and understandable methods to extract higher-order, causal, information from biological data.
My research journey led me to consider several aspects of drug development and repurposing, and got me acclimated to working in an interdisciplinary environment. Here are three of my proudest works:
I have designed an approach which incorporates regulatory cascades and disease-specific transcriptomic information to detect master regulators, which can be targeted to treat a disease
Drug repurposing can be seen as a Top-m identification problem in bandits. One challenge is to exploit side information about the drugs to decrease the number of tests
Non-coding elements in a gene regulatory network structure and constraint its dynamics, enhancing our understanding of regulatory mechanisms